Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Must have skills : Python (Programming Language)
Good to have skills : Agentic Design
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Full-Stack AI Engineer (GenAI / Agentic Systems)
Role Summary
Build and deploy production-grade AI applications using LLMs, RAG pipelines, and agentic systems
Work across backend (Python/FastAPI) and frontend (React/JavaScript) stacks
Deploy and operate AI services in cloud-native Kubernetes environment
Leverage contemporary GenAI frameworks and tooling to accelerate development
Key Responsibilities:
Design and develop LLM-powered backend services using Python and FastAPI
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases
Implement agentic workflows using frameworks such as AutoGen or similar
Design and expose RESTful APIs following OpenAPI / REST API specifications
Integrate backend AI services with React + JavaScript frontend applications
Deploy, manage, and scale AI services on Kubernetes
Use LangChain to orchestrate prompts, tools, chains, memory, and agents
Use LangSmith for:
Prompt/version tracking
LLM tracing and debugging
Evaluation and performance monitoring
Apply prompt engineering best practices and maintain reusable prompt libraries
Collaborate with cross-functional teams to deliver end-to-end AI solutions
Ensure security, reliability, observability, and performance of AI systems
Required Technical Skills
Backend & APIs
Strong hands-on experience with:
Python
FastAPI
Experience designing and consuming RESTful APIs
Familiarity with OpenAPI / Swagger specifications
Frontend
Working knowledge of:
React
Ja
📌 AI Native Software Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru
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